Monica T. Dayao

Hi! I am a Ph.D candidate in the Systems Biology Group at Carnegie Mellon University, advised by Prof. Ziv Bar-Joseph. My current research focuses on developing machine learning methods for the analysis of spatial proteomics datasets, as part of the Human BioMolecular Atlas Program (HuBMAP). I also work with collaborators at Enable Medicine and the University of Pittsburgh Medical Center (UPMC).

Research Interests:

• machine learning for genomics and proteomics
• spatial statistics
• deep learning
• computer vision
• survival analysis and prediction
• unsupervised/self-supervised learning

Previously: [CV]

I earned my BA and MEng degrees in Engineering, with specializations in Information Engineering and Bioengineering, from the University of Cambridge. There, I worked with Dr. Timothy O’Leary and collaborated with Prof. Jim Haseloff on deep learning approaches for the segmentation of plant microscopy images.

Misc.

During my free time, I enjoy climbing (find me at Iron City Boulders!), cooking/baking, biking, golfing, and playing volleyball. I own a small van named Mochi, and am (slowly) working on converting it to a campervan! One day I may make some blog posts about the process.